UniRef++
A unified model for image and video object segmentation
Product Details
UniRef is a unified model for reference object segmentation in images and videos. It supports various tasks such as semantic reference image segmentation (RIS), few-shot segmentation (FSS), semantic reference video object segmentation (RVOS), and video object segmentation (VOS). The core of UniRef is the UniFusion module, which can efficiently inject various reference information into the basic network. UniRef can be used as a plug-in component for basic models such as SAM. UniRef provides models trained on multiple benchmark data sets, and also opens source code for research use.
Main Features
Target Users
object segmentation
Image segmentation
video segmentation
few-shot learning
multi-task learning
Examples
Interactive image segmentation using UniRef
Video object tracking and segmentation using UniRef
Add UniRef as a plug-in to the basic model for semantic segmentation
Quick Access
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